• Appl Clin Inform · Jan 2017

    Development and Feasibility of a Real-Time Clinical Decision Support System for Traumatic Brain Injury Anesthesia Care.

    • Taniga Kiatchai, Ashley A Colletti, Vivian H Lyons, Rosemary M Grant, Monica S Vavilala, and Bala G Nair.
    • Bala G. Nair, PhD, Department of Anesthesiology and Pain Medicine, University of Washington, BB-1469 Health Sciences Bldg, Mail Box: 356540, 1959 NE Pacific Street, Seattle, WA 98195, Phone: (206) 598 4993, Fax: (206) 543-2958, Email: nairbg@uw.edu.
    • Appl Clin Inform. 2017 Jan 25; 8 (1): 80-96.

    BackgroundReal-time clinical decision support (CDS) integrated with anesthesia information management systems (AIMS) can generate point of care reminders to improve quality of care.ObjectiveTo develop, implement and evaluate a real-time clinical decision support system for anesthetic management of pediatric traumatic brain injury (TBI) patients undergoing urgent neurosurgery.MethodsWe iteratively developed a CDS system for pediatric TBI patients undergoing urgent neurosurgery. The system automatically detects eligible cases and evidence-based key performance indicators (KPIs). Unwanted clinical events trigger and display real-time messages on the AIMS computer screen. Main outcomes were feasibility of detecting eligible cases and KPIs, and user acceptance.ResultsThe CDS system was triggered in 22 out of 28 (79%) patients. The sensitivity of detecting continuously sampled KPIs reached 93.8%. For intermittently sampled KPIs, sensitivity and specificity reached 90.9% and 100%, respectively. 88% of providers reported that CDS helped with TBI anesthesia care.ConclusionsCDS implementation is feasible and acceptable with a high rate of case capture and appropriate generation of alert and guidance messages for TBI anesthesia care.

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